The global Big Data Analytics in Banking market was valued at US$ million in 2022 and is projected to reach US$ million by 2035, at a CAGR of % during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
Big data analytics refers to the strategy of analyzing large volumes of data, or big data.
This report aims to provide a comprehensive presentation of the global market for Big Data Analytics in Banking, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Big Data Analytics in Banking. This report contains market size and forecasts of Big Data Analytics in Banking in global, including the following market information:
Global Big Data Analytics in Banking Market Revenue, 2018-2023, 2024-2035, ($ millions)
Global top five companies in 2022 (%)
APAC is expected to have High Adoption Rate Owing to Large Potential. Rapid technological developments in the information technology sector and increasing business operations mark Asia-Pacific (APAC) as the most important market for Big Data in banking during the forecast period. The biggest contributors to this market are China and India that account for most of the revenue in the APAC region. Many organizations in the APAC region are increasingly depending on digital systems to realize their goals. Several vendors, such as SAP and IBM provide wide -range of Big Data analytics services to banks in the region. Some of the core capabilities of these services include real-time monitoring, big cloud services, and other customized dashboards for easier retrieval of data, to ease the workflows. These tools enable organizations for on-the-resource planning and offer modified plans to aid decision-making.
We surveyed the Big Data Analytics in Banking companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Big Data Analytics in Banking Market, by Type, 2018-2023, 2024-2035 ($ millions)
Global Big Data Analytics in Banking Market Segment Percentages, by Type, 2022 (%)
Global Big Data Analytics in Banking Market, by Application, 2018-2023, 2024-2035 ($ millions)
Global Big Data Analytics in Banking Market Segment Percentages, by Application, 2022 (%)
- Feedback Management
- Customer Analytics
- Social Media Analytics
- Fraud Detection and Management
- Others
Global Big Data Analytics in Banking Market, By Region and Country, 2018-2023, 2024-2035 ($ Millions)
Global Big Data Analytics in Banking Market Segment Percentages, By Region and Country, 2022 (%)
- North America (United States, Canada, Mexico)
- Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe)
- Asia-Pacific (China, India, Japan, South Korea, Australia, Rest of APAC)
- The Middle East and Africa (Middle East, Africa)
- South and Central America (Brazil, Argentina, Rest of SCA)
Competitor Analysis
The report also provides analysis of leading market participants including:
- Key companies Big Data Analytics in Banking revenues in global market, 2018-2023 (estimated), ($ millions)
- Key companies Big Data Analytics in Banking revenues share in global market, 2022 (%)
Further, the report presents profiles of competitors in the market, key players include:
- IBM
- Oracle
- SAP SE
- Microsoft
- HP
- Amazon AWS
- Google
- Hitachi Data Systems
- Tableau
- New Relic
- Alation
- Teradata
- VMware
- Splice Machine
- Splunk Enterprise
- Alteryx
Outline of Major Chapters:
Chapter 1: Introduces the definition of Big Data Analytics in Banking, market overview.
Chapter 2: Global Big Data Analytics in Banking market size in revenue.
Chapter 3: Detailed analysis of Big Data Analytics in Banking company competitive landscape, revenue and market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: Sales of Big Data Analytics in Banking in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space of each country in the world.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 8: The main points and conclusions of the report.
